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Publication search results
found 24 matches
- 2023
- Aniket Das, Dheeraj M. Nagaraj, Anant Raj:
Utilising the CLT Structure in Stochastic Gradient based Sampling : Improved Analysis and Faster Algorithms. COLT 2023: 4072-4129 - 2022
- Maxime Vono, Nicolas Dobigeon, Pierre Chainais:
High-Dimensional Gaussian Sampling: A Review and a Unifying Approach Based on a Stochastic Proximal Point Algorithm. SIAM Rev. 64(1): 3-56 (2022) - Bingshan Hu, Nidhi Hegde:
Near-optimal Thompson sampling-based algorithms for differentially private stochastic bandits. UAI 2022: 844-852 - 2021
- Mina Ghavipour, Mohammad Reza Meybodi:
A dynamic sampling algorithm based on learning automata for stochastic trust networks. Knowl. Based Syst. 212: 106620 (2021) - Ruidong Yan, Yi Li, Deying Li, Yongcai Wang, Yuqing Zhu, Weili Wu:
A Stochastic Algorithm Based on Reverse Sampling Technique to Fight Against the Cyberbullying. ACM Trans. Knowl. Discov. Data 15(4): 71:1-71:22 (2021) - 2020
- Mitchell Lichocki, Luis Rodrigues:
A Gaussian-Biased Heuristic for Stochastic Sampling-Based 2D Trajectory Planning Algorithms. ECC 2020: 1949-1954 - Hiroyuki Okamura, Kazuya Morihara, Tadashi Dohi:
An SMT-Based Perfect Sampling Algorithm for Stochastic Petri Nets. VALUETOOLS 2020: 104-111 - 2019
- Zhen-Ping Yang, Jin Zhang, Xide Zhu, Gui-Hua Lin:
Infeasible interior-point algorithms based on sampling average approximations for a class of stochastic complementarity problems and their applications. J. Comput. Appl. Math. 352: 382-400 (2019) - 2017
- Alireza Rezvanian, Mohammad Reza Meybodi:
Sampling algorithms for stochastic graphs: A learning automata approach. Knowl. Based Syst. 127: 126-144 (2017) - 2016
- Vu Anh Huynh, Sertac Karaman, Emilio Frazzoli:
An incremental sampling-based algorithm for stochastic optimal control. Int. J. Robotics Res. 35(4): 305-333 (2016) - 2014
- Oktay Arslan, Evangelos A. Theodorou, Panagiotis Tsiotras:
Information-theoretic stochastic optimal control via incremental sampling-based algorithms. ADPRL 2014: 1-8 - Vu Anh Huynh, Leonid Kogan, Emilio Frazzoli:
A martingale approach and time-consistent sampling-based algorithms for risk management in stochastic optimal control. CDC 2014: 1858-1865 - Oktay Arslan, Evangelos A. Theodorou, Panagiotis Tsiotras:
Information-Theoretic Stochastic Optimal Control via Incremental Sampling-based Algorithms. CoRR abs/1405.7392 (2014) - 2013
- Vu Anh Huynh, Leonid Kogan, Emilio Frazzoli:
A Martingale Approach and Time-Consistent Sampling-based Algorithms for Risk Management in Stochastic Optimal Control. CoRR abs/1312.7602 (2013) - 2012
- Anika Schulz:
Sampling and Approximation in the Context of RNA Secondary Structure Prediction - Algorithms and Studies Based on Stochastic Context-Free Modeling. Kaiserslautern University, Germany, 2012 - Chaitanya Swamy, David B. Shmoys:
Sampling-Based Approximation Algorithms for Multistage Stochastic Optimization. SIAM J. Comput. 41(4): 975-1004 (2012) - Vu Anh Huynh, Sertac Karaman, Emilio Frazzoli:
An incremental sampling-based algorithm for stochastic optimal control. ICRA 2012: 2865-2872 - Vu Anh Huynh, Sertac Karaman, Emilio Frazzoli:
An Incremental Sampling-based Algorithm for Stochastic Optimal Control. CoRR abs/1202.5544 (2012) - 2008
- Kung-Jeng Wang, Shih-Min Wang, James C. Chen:
A resource portfolio planning model using sampling-based stochastic programming and genetic algorithm. Eur. J. Oper. Res. 184(1): 327-340 (2008) - 2007
- Chaitanya Swamy, David B. Shmoys:
Sampling-based Approximation Algorithms for Multi-stage Stochastic Optimization. Probabilistic Methods in the Design and Analysis of Algorithms 2007 - 2006
- Retsef Levi, Robin Roundy, David B. Shmoys:
Provably near-optimal sampling-based algorithms for Stochastic inventory control models. STOC 2006: 739-748 - 2005
- Chaitanya Swamy, David B. Shmoys:
Sampling-based Approximation Algorithms for Multi-stage Stochastic. FOCS 2005: 357-366 - 2002
- Anastasios D. Doulamis, Nikolaos D. Doulamis:
Stochastic search algorithms for optimal content-based sampling of video sequences. DSP 2002: 551-554 - 1998
- David P. Morton:
Stopping Rules for a Class of Sampling-Based Stochastic Programming Algorithms. Oper. Res. 46(5): 710-718 (1998)
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retrieved on 2024-04-23 16:03 CEST from data curated by the dblp team
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